Marc Muselli

5.2k total citations
94 papers, 3.9k citations indexed

About

Marc Muselli is a scholar working on Artificial Intelligence, Renewable Energy, Sustainability and the Environment and Environmental Engineering. According to data from OpenAlex, Marc Muselli has authored 94 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Artificial Intelligence, 33 papers in Renewable Energy, Sustainability and the Environment and 24 papers in Environmental Engineering. Recurrent topics in Marc Muselli's work include Solar Radiation and Photovoltaics (40 papers), Solar Thermal and Photovoltaic Systems (25 papers) and Photovoltaic System Optimization Techniques (24 papers). Marc Muselli is often cited by papers focused on Solar Radiation and Photovoltaics (40 papers), Solar Thermal and Photovoltaic Systems (25 papers) and Photovoltaic System Optimization Techniques (24 papers). Marc Muselli collaborates with scholars based in France, Türkiye and Morocco. Marc Muselli's co-authors include Gilles Notton, Cyril Voyant, Christophe Paoli, Marie Laure Nivet, Philippe Poggi, A. Louche, D. Beysens, Christian Cristofari, I. Milimouk and Marie‐Geneviève Mattéi and has published in prestigious journals such as Applied Energy, Journal of Hydrology and Energy Policy.

In The Last Decade

Marc Muselli

88 papers receiving 3.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marc Muselli France 35 1.5k 1.5k 1.4k 742 565 94 3.9k
Kasra Mohammadi United States 44 1.8k 1.2× 1.7k 1.1× 1.7k 1.2× 912 1.2× 575 1.0× 97 4.8k
Rodrigo Escobar Chile 37 1.4k 0.9× 2.5k 1.7× 1.6k 1.1× 500 0.7× 419 0.7× 135 4.4k
Thomas Huld Italy 38 2.0k 1.4× 1.8k 1.2× 1.9k 1.4× 780 1.1× 862 1.5× 95 5.4k
Manajit Sengupta United States 27 921 0.6× 1.0k 0.7× 1.6k 1.1× 378 0.5× 131 0.2× 152 3.1k
Muyiwa S. Adaramola Norway 41 1.6k 1.0× 1.5k 1.0× 907 0.6× 1.2k 1.6× 1.4k 2.4× 157 5.0k
M.C. Brito Portugal 30 1.5k 1.0× 827 0.6× 1.1k 0.8× 835 1.1× 223 0.4× 125 3.3k
Joshua S. Stein United States 32 1.6k 1.1× 1.9k 1.3× 1.4k 1.0× 509 0.7× 120 0.2× 144 3.2k
Richard Perez United States 39 2.3k 1.5× 4.2k 2.8× 5.6k 4.0× 1.7k 2.3× 344 0.6× 154 8.6k
Alan S. Fung Canada 35 1.6k 1.0× 2.0k 1.3× 296 0.2× 951 1.3× 151 0.3× 165 5.2k
Mehmet Bilgili Türkiye 28 1.1k 0.7× 410 0.3× 589 0.4× 842 1.1× 160 0.3× 133 3.0k

Countries citing papers authored by Marc Muselli

Since Specialization
Citations

This map shows the geographic impact of Marc Muselli's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Marc Muselli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Muselli more than expected).

Fields of papers citing papers by Marc Muselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc Muselli. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Marc Muselli. The network helps show where Marc Muselli may publish in the future.

Co-authorship network of co-authors of Marc Muselli

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Muselli. A scholar is included among the top collaborators of Marc Muselli based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marc Muselli. Marc Muselli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Beysens, D., et al.. (2025). A standard for dew measurement. Journal of Hydrology. 661. 133527–133527. 1 indexed citations
2.
Kidron, Giora J., et al.. (2023). Even in a dew desert: Dewfall does not provide sufficient moisture for biocrust growth – Evidence from direct measurements and a meteorological model. Journal of Hydrology. 627. 130450–130450. 10 indexed citations
3.
4.
Muselli, Marc, et al.. (2016). SUstaiNability: a science communication website on environmental research. 1 indexed citations
5.
Voyant, Cyril, et al.. (2015). Statistical parameters as a means to a priori assess the accuracy of solar forecasting models. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
6.
Poggi, Philippe, et al.. (2014). The PV-Hydrogen MYRTE Platform - PV Output Power Fluctuations Smoothing. Energy Procedia. 57. 607–616. 10 indexed citations
7.
Paoli, Christophe, Cyril Voyant, Marc Muselli, & Marie Laure Nivet. (2014). Multi-horizon Irradiation Forecasting for Mediterranean Locations Using Time Series Models. Energy Procedia. 57. 1354–1363. 5 indexed citations
8.
Voyant, Cyril, Christophe Paoli, Marc Muselli, & Marie Laure Nivet. (2013). Multi-horizon solar radiation forecasting for Mediterranean locations\n using time series models. arXiv (Cornell University). 56 indexed citations
9.
Beysens, D., et al.. (2010). Physical and chemical properties of dew and rain water in the Dalmatian coast, Croatia. 2 indexed citations
10.
Notton, Gilles, et al.. (2006). Hourly Solar Irradiations Estimation : From Horizontal Measurements to Inclined Data. 234–239. 8 indexed citations
11.
Beysens, D., et al.. (2006). Chemical and biological characteristics of dew and rain water in an urban coastal area (Bordeaux, France). Atmospheric Environment. 40(20). 3710–3723. 77 indexed citations
12.
Clus, Owen, Marc Muselli, D. Beysens, Vadim S. Nikolayev, & Jalil Ouazzani. (2006). Computational Fluid Dynamic (CFD) Applied to Radiative Cooled Dew Condensers. 2003. 217–221. 6 indexed citations
13.
Mileta, M., Marc Muselli, D. Beysens, et al.. (2004). Comparison of dew yields in four Mediterranean sites: similarities and differences. Socio-Environmental Systems Modeling. 8 indexed citations
14.
Muselli, Marc, et al.. (2002). Dew water collector for potable water in Ajaccio (Corsica Island, France). Atmospheric Research. 64(1-4). 297–312. 137 indexed citations
15.
Muselli, Marc, Philippe Poggi, Gilles Notton, & A. Louche. (2001). First order Markov chain model for generating synthetic “typical days” series of global irradiation in order to design photovoltaic stand alone systems. Energy Conversion and Management. 42(6). 675–687. 37 indexed citations
16.
Muselli, Marc, Philippe Poggi, Gilles Notton, & A. Louche. (2000). Classification of typical meteorological days from global irradiation records and comparison between two Mediterranean coastal sites in Corsica Island. Energy Conversion and Management. 41(10). 1043–1063. 32 indexed citations
17.
Muselli, Marc, Gilles Notton, Philippe Poggi, & A. Louche. (2000). PV-hybrid power systems sizing incorporating battery storage: an analysis via simulation calculations. Renewable Energy. 20(1). 1–7. 70 indexed citations
18.
Muselli, Marc, et al.. (1998). Utilization of meteosat satellite-derived radiation data for integration of autonomous photovoltaic solar energy systems in remote areas. Energy Conversion and Management. 39(1-2). 1–19. 32 indexed citations
19.
Notton, Gilles, Marc Muselli, Philippe Poggi, & A. Louche. (1998). Sizing reduction induced by the choice of electrical applicances options in a stand-alone photovolatic production. Renewable Energy. 15(1-4). 581–584. 14 indexed citations
20.
Notton, Gilles, Marc Muselli, & Philippe Poggi. (1998). Costing of a stand-alone photovoltaic system. Energy. 23(4). 289–308. 24 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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